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Anam, M Khairul

Universitas Samudra

Author-ID : 1573830

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PENGUATAN KEMAMPUAN DOSEN UNTUK MEMPERSIAPKAN SERTIFIKASIK DOSEN (SERDOS) SMART BAGI DOSEN STIE MAHAPUTRA PEKANBARU M Khairul Anam; Torkis Nasution; Wirta Agustin; Rini Yanti; Rometdo Muzawi
J-COSCIS : Journal of Computer Science Community Service Vol. 3 No. 2 (2023): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/jcoscis.v3i2.14657

Kegiatan Pengabdian kepada Masyarakat (PkM) berupa penguatan kemampuan dosen dalam mempersiapkan diri mengikuti sertifikasi. Bertujuan untuk memberikan pengetahuan dan keterampilan dalam menyusun kelengkapan yang diperlukan dalam memenuhi syarat untuk memperoleh sertifikasi bagi dosen. Peningkatan kemampuan dalam bidang mengembangkan media pembelajaran, penelitian, dan pengabdian diharapkan dapat mempercepat dan mempermudah perolehan sertifikasi dosen dalam jabatan. Khalayak sasaran dalam kegiatan PkM ini adalah dosen-dosen STIE Mahaputra Pekanbaru yang berjumlah 26 orang. Pendampingan dalam pengembangan media pembelajaran, penelitian dan pengabdian dilakukan dengan metode ceramah, demonstrasi dan latihan yang disertai tanya jawab. Metode ceramah digunakan untuk menjelaskan konsep pengantar dosen profesional dan sertifikasi dosen, penelitian dan pengabdian. Metode demonstrasi dipakai untuk menunjukkan suatu proses kerja yaitu tahap-tahap pelaksanaan Serdos SMART, sedangkan metode latihan untuk mempraktikkan tahapan dan kelengkapan yang memenuhi persyaratan program sertifikasi dosen. Sementara metode tanya jawab untuk memberi kesempatan para peserta berkonsultasi dalam mengatasi kendala dalam penyusun persyaratan yang diperlukan. Ketersediaan tenaga ahli yang memadai dalam menyusun persyaratan, penelitian dan pengabdian di STIE Mahaputra Pekanbaru. Antusiasme peserta, dukungan ketua sekolah tinggi terhadap pelaksanaan kegiatan dan dana pendukung dari penyelenggara merupakan pendukung terlaksananya kegiatan PkM ini. Adapun kendala yang dihadapi adalah para dosen belum memiliki pengetahuan awal tentang pengoperasian komputer dan keterbatasan waktu untuk pelatihan. Manfaat yang dapat diperoleh peserta dari kegiatan PkM ini antara lain dapat memahami dan mampu menyusun persyaratan yang diperlukan untuk lulus Serdos SMART.

Projection Mapping Motif Melayu Fadli Suandi; Gendhy Dwi Harlyan; Happy Yugo Prasetiya; M.Khairul Anam; Lathifah Lathifah; Sofiansyah Fadli
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 7, No 1 (2023): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v7i1.10138

Teknik Projection mapping sebagai media baru menjadi peluang pemanfaatan teknologi multimedia yang mulai ramai diaplikasikan. Penelitian ini memanfaatkan teknologi yang biasa disebut dengan Augmented Reality Spatial sebagai pengembangan dan penyampaian informasi dengan mengangkat konten video motion graphic yang bertema motif melayu ditampilkan melalui proyektor dan ditembakkan pada gedung di Politeknik Negeri Batam. Metode penelitian dibagi pada beberapa tahapan dimulai dari observasi objek dan bidang, menentukan jumlah dan mempersiapkan proyektor, membuat replika virtual bidang projection, perancangan konten multimedia, mapping test, hingga pertunjukan projection mapping. Dari pengumpulan data responden yang melihat pertunjukan projection mapping didapatkan penilaian pada beberapa aspek kelayakan yaitu, kelayakan teknik projection mapping, kelayakan teknik audio dan kelayakan tema didominasi dengan hasil penilaian layak dan sangat layak. Pada aspek kelayakan visual dan kelayakan durasi harus dievaluasi kembali karena mendapatkan beberapa penilaian kurang layak.

Perbandingan Evaluasi Kernel SVM untuk Klasifikasi Sentimen dalam Analisis Kenaikan Harga BBM: Comparative Evaluation of SVM Kernels for Sentiment Classification in Fuel Price Increase Analysis Salsabila Rabbani; Dea Safitri; Nadila Rahmadhani; Al Amin Fadillah Sani; M. Khairul Anam
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 3 No. 2 (2023): MALCOM October 2023
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v3i2.897

Kebijakan perubahan harga Bahan Bakar Minyak (BBM) oleh pemerintah pada September 2022 lalu menimbulkan kontroversi pengguna sosial media termasuk Twitter. Untuk memahami bagaimana perubahan kenaikan harga BBM apakah mempengaruhi persepsi dan emosi masyarakat di Twitter maka dalam penelitian ini dilakukan analisis sentimen menggunakan algoritma Support Vector Machine (SVM) dengan tiga jenis kernel berbeda, yaitu linier, RBF (Radial Basis Function), dan polinomial. Penelitian ini bertujuan untuk mengklasifikasikan tweet-tweet sebagai positif, negatif, atau netral, serta membandingkan kinerja ketiga kernel SVM tersebut. Penelitian ini juga mencoba mengatasi ketidakseimbangan kelas dengan menerapkan teknik SMOTE (Synthetic Minority Over-sampling Technique) oversampling pada dataset. Hasil penelitian menunjukkan bahwa pengguna Twitter dominan memberikan reaksi negatif terhadap kenaikan harga BBM. Dalam mengaplikasikan algoritma SVM, kernel RBF menghasilkan kinerja terbaik yaitu sebesar 87% menggunakan pembobotan kata TF-IDF. Selain itu, penggunaan pembobotan kata TF-IDF memiliki hasil akurasi terbaik dibandingkan dengan model pembobotan kata BoW. Penerapan teknik SMOTE oversampling dalam kernel polynomial pembobotan kata TF-IDF pada pembagian data 70:30 dan 80:20 berhasil meningkatkan kinerja algoritma sebesar 2%. Hasil penelitian ini memberikan wawasan mendalam tentang pandangan masyarakat terhadap kebijakan harga BBM dan memungkinkan pengambil keputusan publik serta industri untuk merancang kebijakan yang lebih responsif dan berpihak kepada kepentingan rakyat.

Analysis and Identification of Non-Impact Factors on Smart City Readiness Using Technology Acceptance Analysis: A Case Study in Kampar District, Indonesia M. Khairul Anam; Arda Yunianta; Hasan J. Alyamani; Erlin Erlin; Ahmad Zamsuri; Muhammad Bambang Firdaus
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.2401

Most countries start to implement Smart Cities as an innovation for urban strategy. However, not all Smart Cities implementations worked and were implemented well, because the community still not ready for the implementation of Smart City. The aim of this research is to investigate community readiness and finding low impact factors for implementing smart cities based on 5 factors, namely AU, PEOU, ATU, BIU, and PU. This research was using a qualitative study with the Technology Acceptance Model approach (TAM) to investigate the relationship between 5 factors. Based on the results of data distribution, there are 2 clusters, namely people who know about public service applications and people who are not aware of any public service applications. Furthermore, there are 3 tests conducted in this research namely T-test, F-test and Coefficient Determination Test to determine the impact and influence of the relationship between each factor. However, from the results of the t-test it was found that there were 2 relationships that had no impact because the t-count was negative and the 2 relationships between these factors were between PU - AU and AU - PU.

Application Of the Cobit 2019 Framework to Analyse the Security Of Academic Information Systems M Khairul Anam; Silvyana Dwi Putri; Devi Yuliana; Eva Yumami; Tri Putri Lestari
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 3 No. 2: SEPTEMBER 2023
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v3i2.192

STMIK Amik Riau implements an integrated information system to support a fast and real-time information management process where each service has its security. In this study, the analysis used to determine the maturity level of information system security governance was the COBIT 2019 framework with a CMMI scale. In COBIT 2019 the domains used were DSS05 and APO13. Based on the result of the analysis, the results of the average value of the overall maturity level on the security of the academic information system of STMIK Amik Riau were currently at level 3, which was defined. It meant that the security of the information system was running well but needed to be evaluated and optimized continuously. The value of each sub domain was 3.08 for the DSS05 sub domain (user), 3.35 for DSS 05 sub domains (maintainer), and 2.5 for APO13 sub domains (maintainer). Then the average result obtained from the gap was 0.53, meaning that the current level of maturity level with the desired maturity level is not too far away and can be increased by providing recommendations.

ANALISIS DAN PERANCANGNAN ARSITEKTUR TEKNOLOGI PADA PERGURUAN TINGGI MENGGUNAKAN FRAMEWORK TOGAF M Khairul Anam; Rivaldi Dwi Andhika; Khusaeri Andesa; Herwin Herwin; Agustin Agustin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 2 (2023): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i2.3459

In general, higher education is divided into two categories of benefits from the application of Information and Communication Technology (ICT). The first is referred to as core values and supporting values. The computer network at STMIK Amik Riau currently uses the Telkom Speedy Wireless Network provider in each building. Then each student is only given 1 account to access the Hotspot network on the STMIK Amik Riau campus which can only be used on 1 laptop that is registered and capacity that has been limited or shared by network operators. However, the use of Hotspots that students want to access is only found in a few places which if used are smooth. To overcome these problems a framework is needed, one of which is TOGAF. TOGAF is a framework that has a set of supporting tools for developing enterprise architectures. TOGAF is a method that can be adapted to all changes and needs during planning. The purpose of this research is to get the gaps in the existing technology architecture and then provide recommendations in the form of the proposed technology architecture so that the existing gaps can be repaired and can run well. The results of this study found that to improve service to students, 7 application modules were needed and the need for improvements to the existing network at STMIK Amik Riau.

Enhancing Machine Learning Model Performance in Addressing Class Imbalance Lucky Lhaura Van FC; M. Khairul Anam; Muhammad Bambang Firdaus; Yogi Yunefri; Nadya Alinda Rahmi
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.626.478-490

This research aims to investigate methods for handling class imbalance in machine learning models, with a focus on the Support Vector Machine (SVM) algorithm. We apply oversampling (SMOTE) and undersampling techniques to a dataset with class imbalance and evaluate the performance of SVM using these methods. Experiments are conducted using data from Twitter social media regarding the 2024 general electionsThe findings indicate that incorporating SMOTE effectively enhances the performance of SVM models, particularly within the SVM Polynomial variant. However, the use of undersampling shows limited impact on improving SVM model performance. This study provides valuable insights for researchers and practitioners in choosing the appropriate strategy for handling class imbalance in machine learning models.

IMPLEMENTATION OF IOT-BASED PRESENCE APPLICATIONS IN JUNIOR HIGH SCHOOLS TO SUPPORT IMPLEMENTATION SMART SCHOOLS M Khairul Anam; zeki Kurniadi; Helda Yenni; Rometdo Muzawi; Khusaeri Andesa; Herwin Herwin
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.4119

This research is conducted to address the observed inefficiency in the current attendance process at SMP As-Syahira Amka in Pekanbaru. The traditional method of manually calling each student for attendance not only consumes time but also results in prolonged manual record-keeping processes. Recognizing the need for a more efficient and structured system, this study aims to introduce an IoT-based attendance solution using RFID technology. By implementing this solution, the research aims to enhance the efficiency of the attendance process, reduce administrative burdens, and improve overall school management. Additionally, the study aims to contribute to the advancement of educational technology by applying the Research and Development (R&D) method to design, develop, implement, and evaluate the proposed IoT-based attendance system. Ultimately, the goal of this research is to provide a practical and effective solution that can be adopted by SMP As-Syahira Amka and potentially other educational institutions facing similar challenges in attendance management. By introducing an IoT-based attendance system, it is hoped that there will be an improvement in efficiency, accuracy, and security in the attendance process, as well as a positive contribution to creating a more modern and structured learning environment. Moreover, this research may provide new insights into the utilization of technology in education in Indonesia and encourage the adoption of innovative solutions to enhance overall educational quality.

K-Means Clustering to Identity Twitter Build Operate Transfer (BOT) on Influential Accounts M. Khairul Anam; Ike Yunia Pasa; Kartina Diah Kusuma Wardhani; Lusiana Efrizoni; Muhammad Bambang Firdaus
ComTech: Computer, Mathematics and Engineering Applications Vol. 14 No. 2 (2023): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v14i2.10620

Twitter is a popular social media with hundreds of millions of users, but some are not human. About 48 million accounts are created by Build Operate Transfer (BOT), which represents up to 15% of all accounts. BOTs are created for various purposes, one of which is to post information about news automatically. However, BOTs have also been abused, such as spreading hoaxes or influencing public perception of a topic. The research aimed to determine which Twitter accounts were identified as BOT accounts based on predefined attributes. The research used tweet data from 213 Twitter accounts. The accounts used as test data were accounts that had influence. After that, the data were clustered using k-means using the attributes of retweets + replies count, followers count, account age, friends count, status count, digits count in name, username length, name similarity, name ratio, and likes count. The results show the optimal number of clustering at k = 3 on the Sum of Squared Errors (SSE) evaluation and the Elbow method and the best quality and cluster power at k = 2 on the silhouette coefficient. It shows that the clustered accounts with the highest number of members on each attribute are places for accounts with high BOT scores from several aspects of the BOT score type.

Enhancing the Decision Tree Algorithm to Improve Performance Across Various Datasets Putra, Pandu Pratama; Anam, M Khairul; Defit, Sarjon; Yunianta, Arda
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 8 No 2 (2024): August 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v8i2.22280

Background: The Village Fund is an initiative by the central government to promote equitable regional development. However, it has also led to corruption. Many Indonesians share their opinions on the Village Fund on social media platforms like X, and news coverage is extensive on portals like detik.com. Objective: This study aims to classify data from social media and news coverage to enhance understanding. Methods: The research improves the decision tree algorithm by integrating other algorithms and techniques such as XGBoost and SMOTE. Ensuring high accuracy is vital for the credibility of machine learning classifications among the public. The study uses two different datasets, necessitating varied testing approaches. For the news portal dataset, a single test with seven labels is conducted, followed by enhancement with XGBoost. The X dataset undergoes two tests with datasets of 1200 and 3078 entries, using three labels. Conclusion: The evaluation results indicate that the highest accuracy achieved with the news portal data was 82%, thanks to a combination of decision tree algorithms with various parameters and the balancing effect of SMOTE. For the Twitter dataset with 3078 entries, the highest accuracy reached 95%, attributed to the application of ensemble techniques, particularly boosting.

Co-Authors -, Tashid Abrar Hadi Ade Riyanda Putra Agustin Agustin Agustin Agustin Agustin Agustin Agusviyanda Agusviyanda Agusviyanda Agusviyanda Ahmad Ihsan Ahmad Zamsuri Ahmad Zamsuri, Ahmad Aisum Aliyah Sari Akram, Rizalul Al Amin Fadillah Sani Alfa Saleh Alfisyahrin, Alfisyahrin Alfitra, TM Rezaka Alkadri Masnur Ambiyar, Ambiyar Andesa, Khusaeri Andhika, Imam Andi Supriadi Chan, Andi Supriadi Anwar, Reksi Aprillian Kartino Arba, Muhammad Hendra Arda Yunianta Arda Yunianta Arief Hidayat Arita Fitri, Triyani Arsyah, Ulya Ilhami Atalya Kurnia Sari Atmaja, Teuku Hadi Wibowo Bambang Kurniawan Br.Situmorang, Elisabet Sinta Romaito Budiman, Edy Budiman, Edy Bunga Nanti Pikir Bunga Nanti Pikir Chatarina Umbul Wahyuni Cut, Banta Damar Sanggara Habibie Darma, Adi Surya Daryanto, Diki Dea Safitri Dedy Irfan Devi Yuliana Dewi Sari Wahyuni Didik Sudyana Didik Sudyana Diki Daryanto Diky Daryanto Dona Wahyuning Laily Eddy Kurniawan Pradana Efrizoni, Lusiana Elangga Sony Widiharsono Elva, Yesri Emerlada, Esi Tri Erlin Erlin Erlinda, Susi Ersan Fadrial, Yogi Esi Tri Emerlada Fadli Suandi Fahrul Yamani Faisol Mas’ud Fajar Arifandi Fajrizal Fatdha, T.Sy. Eiva Faza Alameka Fernando Elda Pati Fika Felanda Ardelia Firdaus, Muhammad Bambang Fransiskus Zoromi Fransiskus Zoromi Fransiskus Zoromi Fransiskus Zoromi, Fransiskus Fryonanda, Harfebi Fuquh Rahmat Shaleh Gendhy Dwi Harlyan Gubtha Mahendra Putra Gunadi Gunanti Mahasri Gunawan, Chichi Rizka Habibi Ulayya Hadi Asnal, Hadi Hairah, Ummul Halim, Muhammad Yusuf Hamdani Hamdani - Hamdani . Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Handayani, Nadya Satya Hanif Aulia Happy Yugo Prasetiya Haris Kurniawan, Haris Harja, Jetno Hartomi, Zupri Henra Hasan J. Alyamani Haviluddin Haviluddin Hazira, Nadila Helda Yeni Helda Yenni, Helda Hendra Saputra Hendrawan, Riki hendri, nofri Herianto Herianto Herwin Herwin Ika Purnamasari Ike Yunia Pasa Ikhsan Ikhsan Indah Mukhlis Tamara Indra Prayogo Indra Prayogo Indri Febrianti Irfan Putra Pratama Irfansyah Irfansyah Irfansyah Irfansyah Irsyad, Akhmad Irwanda Syahputra Irwanda Syahputra Irzal Arief Wisky Istianah Istianah Jamaris, Muhamad Jamaris, Muhammad Jasmarizal Junadhi Junadhi Junadhi Junadhi Junadhi, Junadhi Kadek Mirnawati Karfindo, Karfindo Karpen Kartina Diah K. W. Kharisma Rahayu Khusaeri Andesa Khusaeri Andesa Kresnapati, I Nyoman Bagus Aji Kudadiri, Parlindungan Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah Lathifah, Lathifah Latifah Lia Oktavia Ika Putri Lilis Cahaya Septiana Liza Fitria Lucky Lhaura Van FC Lucky Lhaura Van FC, Lucky Lhaura Lusiana Lusiana Efrizoni Lusiana Lusiana M Syauqi Hafizh M. Ikhsan Wibowo Machdalena Mahamad, Abd Kadir Mahendra, Muhammad Ihza Mahessya, Raja Ayu Mardainis Mardainis Mardainis Martilinda Panjaitan Mega Susanti Mega Susanti Melda Royani Michal Dennis Michel Kasaf Mi`rajul Rifqi Mohamad, Nur Ikhwan Bin Muhaimin, Abdi Muhamad Jamaris Muhamad Sadar Muhamad Sadar, Muhamad Muhammad Bambang F Muhammad Bambang Firdaus Muhammad Bambang Firdaus Muhammad Budi Saputra muhammad Fuad Muhammad Ikhsan Wibowo Muhammad Nur Ihwan Muhammad Wisdan Pratama Putra Munawir Munawir Munawir N.A, Randi Nadila Rahmadhani Nadya Alinda Rahmi Nanda, Novianda Nanda Nariza Wanti Wulan Sari Nasrul Sani Neci Nirwanda Nina Nurmalia Dewi Nisa, Aida Nora Lizarti Novi Yona Sidratul Munti Nu'man, Nu'man Nurhuda, Agus Tri Nurjayadi Nurjayadi Nurjayadi Nurjayadi Nurjayadi Nurjayadi Nurkholifah Dwi Rahayu Nurul fadillah, Nurul Nurul Indriani Nurwijayanti Pandu Pratama Putra, Pandu Pratama Paradila, Dinda Parlindungan Kudadiri Permana, Randy Pradipta , Rahman Pranata, Angga Pratiwi, Mutiana Purwanto Putra, Ryanda Satria Rahmaddeni Rahmaddeni Rahmaddeni Rahmaddeni Rahmi, Nadya Alinda Rahmiati Rahmiati Rahmiati Rebecca La Volla Nyoto Refni Wahyuni Reksi Anwar Rini Yanti Rini Yanti Rini Yanti Rinno Hendika Putra Rio Andika Malik Rivaldi Dwi Andhika Rohana Yola Parastika Hutasoit Rohmat Romadhoni Rometdo Muzawi, Rometdo Ruri Hartika Zain Saiful Bukhori Salman Aldo Alfaresi Salsabila Rabbani Salsabila Rabbani Saon, Sharifah Saputra, Eko Ikhwan Sari Irma Yani Sitorus Sari, Atalya Kurnia Sarjon Defit Setyantini, Woro Hastuti Silvyana Dwi Putri Sofiansyah Fadli Sofiansyah Fadli Soni Sovia, Rini suaidah suaidah Sumijan Sumijan Susandri, Susandri Susanti Susanti Susanti Susanti Susanti Susanti Susanti, Mega Susanti, Susanti SUSI ERLINDA Susi Erlinda Susi Erlinda Syam, Salmaini Safitri Syamsiar, Syamsiar T. Sy. Eiva Fatdha Taruk, Medi Tashid Tashid Tashid Tatang Hidayat Taufik Taufik Tejawati, Andi Tengku Alvin Firdaus Teri Ade Putra Tjut Rizqi Maysyarah Hadi Torkis Nasution Tri Putri Lestari Tri Putri Lestari Tri Putri Lestari Tri Putri Lestari, Tri Putri Triyani Arita Fitri Ulfah, Aniq Noviciate Wahyudianto, Mochamad Rizky Wahyuni, Dewi Sari Waksito, Alan Zulfikar Waskita, Ghozi Indra Wifra, Rizki Wirta Agustin Wirta Agustin Yaakub, Saleh Yansyah Saputra Wijaya Yenni, Heda Yesaya Twin Situmorang Yogi Ersan Fadrial Yogi Yunefri, Yogi Yoyon Efendi Yuda Irawan Yudhistira, Dewangga Yumami, Eva Zainal Arifin zeki Kurniadi Zeki Kurniadi

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